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Speech-enhancement Alternatives
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speech-enhancement reviews and mentions
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[Discussion] The most painful thing about machine learning
I find writing smoke tests (described here, code examples: model tests + training loop tests) and running them on every commit in CI (eg GitHub Actions) catches a lot of problem. Using pydantic is good for keeping any config files valid is good - you can smoke test those as well.
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[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit?
Even if detailed unit testing is hard, you can smoke test your models in CI to make sure that they're at least not crashing. More on smoke tests here. Some example smoke tests for a neural net here. Running your tests in GitHub Actions is relatively easy (here).
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[D] How did you manage GPU instances in the public cloud?
use Packer to pre-build an Amazon Machine Image (AMI) to pre-install all the garbage you need to run your code (eg NVIDIA stuff)
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The primary programming language of speech-enhancement is Python.